Swarms of robots based on evolutionary game theory

Authors:
Sidney N. Givigi, Jr.;Howard M. Schwartz
Affiliations:
Carleton University, Ottawa, ON, Canada;Carleton University, Ottawa, ON, Canada
Venue:
CA '07 Proceedings of the Ninth IASTED International Conference on Control and Applications
Year:
2007

Citing 4
Cited 0

The society of mind

The society of mind
Swarm intelligence: from natural to artificial systems

Swarm intelligence: from natural to artificial systems
Co-Fields: A Physically Inspired Approach to Motion Coordination

IEEE Pervasive Computing
Evolving Self-Organizing Behaviors for a Swarm-Bot

Autonomous Robots

Quantified Score

Hi-index	0.00

Visualization

Abstract

Some techniques for achieving swarm intelligent robots through the use of traits of personality are discussed. Traits of personality are characteristics of each robot that, altogether, define the robots behaviours. We discuss the use of evolutionary psychology in order to select a set of traits of personality that will evolve due to a learning process based on reinforcement learning. The use of Game Theory is introduced in conjunction with the use of external payoffs. A simulation showing its usage is reported.